code: def test_fabric_module_method_lookup():
      """Test that access to methods warns about improper use when a wrapper from a strategy is involved."""
  
      class OriginalModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.submodule = torch.nn.Linear(2, 3)
  
          def forward(self, x):
              return x
  
          def method_without_module_invocation(self):
              return 100
  
          def method_with_submodule_invocation(self):
              self.submodule(torch.rand(2, 2))
              return 101
  
          def method_with_self_invocation(self):
              self(None)
              return 102
  
      class ModuleWrapper(torch.nn.Module):
          def __init__(self, module):
              super().__init__()
              self.wrapped = module
  
      # Regular case: forward_module == original_module -> no warnings
      original_module = OriginalModule()
      fabric_module = _FabricModule(
          forward_module=original_module,
          precision=Mock(),
          original_module=original_module,
      )
      assert fabric_module.method_without_module_invocation() == 100
  
      # Special case: original module wrapped by forward module: -> warn if method accepts args
      original_module = OriginalModule()
      wrapped_module = ModuleWrapper(original_module)
      fabric_module = _FabricModule(
          forward_module=wrapped_module,
          precision=Mock(),
          original_module=original_module,
      )
      assert fabric_module.method_without_module_invocation() == 100
      with pytest.raises(
          RuntimeError,
          match=r"You are calling the method `OriginalModule.method_with_submodule_invocation\(\)` from",
      ):
          assert fabric_module.method_with_submodule_invocation() == 101
      with pytest.raises(
          RuntimeError,
          match=r"You are calling the method `OriginalModule.method_with_self_invocation\(\)` from",
      ):
          assert fabric_module.method_with_self_invocation() == 102
  
imports: from unittest import mock
  from unittest.mock import Mock, call
  import pytest
  import torch
  from lightning.fabric.fabric import Fabric
  from lightning.fabric.plugins import Precision
  from lightning.fabric.utilities.device_dtype_mixin import _DeviceDtypeModuleMixin
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_1
  from lightning.fabric.wrappers import _FabricDataLoader, _FabricModule, _FabricOptimizer, _unwrap_objects, is_wrapped
  from torch.utils.data import BatchSampler, DistributedSampler
  from torch.utils.data.dataloader import DataLoader
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 3 for calling a global function with example usage: test_fabric_module_method_lookup() and returns: x, int, int, int